Pinned

1. regularized-linear-regression-deep-dive regularized-linear-regression-deep-dive Public

   Explanations and Python implementations of Ordinary Least Squares regression, Ridge regression, Lasso regression (solved via Coordinate Descent), and Elastic Net regression (also solved via Coordin…

   Jupyter Notebook 13 1

2. NBA-attendance-prediction NBA-attendance-prediction Public

   Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% c…

   Jupyter Notebook 10 3

3. explorations-in-envy-free-allocations explorations-in-envy-free-allocations Public

   Formulation in AMPL and evaluation in CPLEX of mixed-integer linear programs for several fair division problems under envy-freeness. Visualization in Python of resultant model and solver data

   Jupyter Notebook 4

4. higher-education-simulation higher-education-simulation Public

   Full Python implementation of an agent-based simulation model of generalized higher education institutions. Thousands of experiments are conducted and model feature significance is found through re…

   Jupyter Notebook 4

5. Implementation of the Elastic Net fo... Implementation of the Elastic Net for Regression in Python Using NumPy

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   def elastic_net(X, y, l, alpha, tol=1e-4, path_length=100, return_path=False):

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       """The Elastic Net Regression model with intercept term.

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       Intercept term included via design matrix augmentation.

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       Pathwise coordinate descent with co-variance updates is applied.

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       Path from max value of the L1 tuning parameter to input tuning parameter value.

6. Mac Setup Scripts Mac Setup Scripts

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   #!/bin/zsh

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   <<COMMENT

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   setup.zsh: A macOS configuration setup script